Posts tagged Tuning

Tag: Tuning

Feed: Planet MySQL; Author: Dave Stokes; Oracle Code One starts September 16th and the MySQL Track is packed with interesting presentations. The session coded that start with 'DEV' are general talks. Hands on Labs start with 'HOL' and you will have a pre imaged laptop to use to do the lab work. And 'TUT' is for tutorials. Use the mobile OOW/CodeOne app to reserve your space as space is limited and there is limited stand by space.I highly recommend the State of the Dolphin talk on Monday as that will provide the richest overview of what is going on within ... Read More

Feed: Planet PostgreSQL. In my last entry, we saw how to setup PostgreSQL 12 beta 3 in Amazon RDS. In that entry I purposely left out how to change database parameters as I realized that it deserves an entry (or more) by itself.Using the AWS CLI you can create a new database parameter group as follows:$ aws rds create-db-parameter-group --db-parameter-group-name jkpg12pg --db-parameter-group-family postgres12 --description "My PostgreSQL 12 Parameter Group" --region us-east-2 --endpoint https://rds-preview.us-east-2.amazonaws.com We have just created a group and not applied the parameters to any database. Before we apply, we do to see what are the default values in ... Read More

Feed: AWS Compute Blog. Author: Betsy Chernoff. This post is contributed by Geoff Blake | Sr System Development EngineerIn a previous post, Optimizing Network Intensive Workloads on Amazon EC2 A1 Instances, I provided general guidance on tuning network-intensive workloads on A1 instances using Memcached as the example use case. NGINX is another network-intensive application that, like Memcached, is a good fit for the A1 instances. This post describes how to configure NGINX as a load balancer on A1 for optimal performance using Amazon Linux 2, highlighting the important tuning parameters. You can extract up to a 30% performance benefit with these ... Read More

Feed: Planet PostgreSQL. PostgreSQL 12, the latest version of the "world's most advanced open source relational database," is being released in the next few weeks, barring any setbacks. This follows the project's cadence of providing a raft of new database features once a year, which is quite frankly, amazing and one of the reasons why I wanted to be involved in the PostgreSQL community.In my opinion, and this is a departure from previous years, PostgreSQL 12 does not contain one or two single features that everyone can point to and say that "this is the 'FEATURE' release," (partitioning and query ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Jorge CAstanon. Photo by chuttersnap on UnsplashMachine learning is a hot topic in research and industry, with new methodologies developed all the time. The speed and complexity of the field makes keeping up with new techniques difficult even for experts — and potentially overwhelming for beginners. To demystify machine learning and to offer a learning path for those who are new to the core concepts, let’s look at ten different methods, including simple descriptions, visualizations, and examples for each one. A machine learning algorithm, also called model, is a mathematical expression that represents data ... Read More

Feed: All Oracle Press Releases. Payment gateways are the unsung workhorses of retail sales. This technology sits between the store—either brick-and-mortar or online—and the banks that handle transactions. The gateway takes in buyers’ credit cards and authorizes payment so purchases can be made. It is also often invisible to shoppers since commerce sites tend to “white label” technology from third parties to appear as an integral part of the online store. AsiaPay is a major player in this category both in its home city of Hong Kong, where 60% of merchants use its services, as well as in Australia, China, ... Read More

Feed: Arisant. Author: Kyle May; Your campus is active 24 hours a day, 7 days a week, but is your IT team able to monitor your systems 24×7? Probably not. The fact is, most colleges and universities have limited resources in their IT departments, so if a system goes down in the middle of the night, it is likely that nobody will know about it until the IT department opens up at 8AM. If the problem is big enough, a fix may not be available through the most active parts of the campus’ day where students and faculty could have ... Read More

Feed: Recent Announcements. Amazon SageMaker manages Spot instances on your behalf, so you don’t have to poll continuously for capacity. There is no need to build additional tooling as Amazon SageMaker enables your training jobs to run reliably as and when Spot capacity becomes available. Managed Spot Training can be used when training models built using the popular ML frameworks in SageMaker, SageMaker built-in algorithms, and custom built models. You can also use Managed Spot Training Automatic Model Tuning to tune your machine learning models. Managed Spot Training is supported for all instance types available in Amazon SageMaker and in ... Read More

Feed: Planet PostgreSQL. Row Level Security (RLS) is one of the key features in PostgreSQL. It can be used to dramatically improve security and help to protect data in all cases. However, there are a couple of corner cases which most people are not aware of. So if you are running PostgreSQL and you happen to use RLS in a high-security environment, this might be the most important piece of text about database security you have ever read.Row-Level-Security in PostgreSQL: Corner casesTo prepare for my examples let me create some simple data first. The following code is executed as superuser: ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: ajit jaokar. The use of training, validation and test datasets is common but not easily understood. In this post, I attempt to clarify this concept. The post is part of my forthcoming book on learning Artificial Intelligence, Machine Learning and Deep Learning based on high school maths. If you want to know more about the book, please follow me on Linkedin Ajit Jaokar Background Jason Brownlee provides a good explanation on the three-way data splits (training, test and validation) – Training set: A set of examples used for learning, that is ... Read More